Discriminative Partial Domain Adversarial Network

no code implementations • ECCV 2020 • Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung

Previous methods typically match the whole source domain to target domain, which causes negative transfer due to the source-negative classes in source domain that does not exist in target domain.

Partial Domain Adaptation Transfer Learning

Self-Adaptive Partial Domain Adaptation

no code implementations • 18 Sep 2021 • Jian Hu, Hongya Tuo, Shizhao Zhang, Chao Wang, Haowen Zhong, Zhikang Zou, Zhongliang Jing, Henry Leung, Ruping Zou

Partial Domain adaptation (PDA) aims to solve a more practical cross-domain learning problem that assumes target label space is a subset of source label space.

Partial Domain Adaptation

Domain Adaptive YOLO for One-Stage Cross-Domain Detection

no code implementations • 26 Jun 2021 • Shizhao Zhang, Hongya Tuo, Jian Hu, Zhongliang Jing

Multi-scale instance level features alignment is presented to reduce instance domain shift effectively , such as variations in object appearance and viewpoint.

Domain Adaptation

Efficient Image Categorization with Sparse Fisher Vector

no code implementations • 15 Oct 2014 • Xiankai Lu, Zheng Fang, Tao Xu, Haiting Zhang, Hongya Tuo

In object recognition, Fisher vector (FV) representation is one of the state-of-art image representations ways at the expense of dense, high dimensional features and increased computation time.

Image Categorization Object Recognition